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/parallel-ai-search

@3323bc9
Run it yourself

Use the official Parallel CLI for explicitly selected Parallel web search, extraction, research, enrichment, FindAll, or monitoring. Choose a bounded workflow, retain job IDs, and verify source evidence. Do not activate for every web lookup or move generic reminders into a paid Parallel monitor.

Use this Skill: https://skilld.dev/gh/tristanmanchester/agent-skills/parallel-ai-search

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referencesJOBS.md

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Jobs and monitoring

Inspect installed help before optional flags; the current source is the official CLI documentation and maintained implementation. Reviewed 2026-09-13. No old CLI alias compatibility is required.

Research

Choose a processor from parallel-cli research processors --json; do not bake a premium tier into every request. For an authorised asynchronous submission:

parallel-cli research run "$QUESTION" --processor "$PROCESSOR" --no-wait --json
parallel-cli research status "$RUN_ID" --json
parallel-cli research poll "$RUN_ID" --timeout 120 --json

The example's 120 seconds is one bounded wait, not an estimate of task duration. Keep a total deadline across polls. On expiry, return the pending ID/status or cancel only through a supported, authorised operation. A cancelled local process does not cancel a remote run. Inspect output/basis and sources before summarising; verify actual .json/.md files when using -o rather than inventing paths.

Enrichment

Use a small sample and explicit typed output columns before processing a large input. Preserve stable source row IDs and distinguish zero, empty, unknown, and failed fields. Avoid duplicating rows or overwriting original data on a retry.

parallel-cli enrich run \
  --source-type csv --source "$INPUT" --target "$OUTPUT" \
  --source-columns '[{"name":"company","description":"Company identity"}]' \
  --enriched-columns '[{"name":"website","description":"Official website"}]' \
  --dry-run --json

Review the preview, budget, input scope, and destination before the authorised run. Use --no-wait when splitting submission from polling; retain taskgroup_id and inspect enrich status/enrich poll help. Reconcile partial rows using their original identities. An AI-suggested schema is a proposal, not permission to collect additional personal data or spend on unrequested columns.

FindAll

Define entity identity and matching criteria separately. Choose the documented generator (base, core, or pro) and a bounded match count. Do not confuse fast entity-search ranking with per-candidate verification.

parallel-cli findall run "$OBJECTIVE" --generator core --match-limit 25 --dry-run --json

This preview calls the ingest endpoint. It avoids creating the FindAll run; it is not a wholly offline/no-network operation. Do not promise zero cost without checking the applicable billing contract.

With --no-wait, the current CLI returns after ingest/create; suggested enrichments are not automatically applied as in the synchronous workflow. Use the documented findall enrich step when needed. Persist the run ID, inspect status/results, and retain match evidence/rejections/partial failures. Cancellation is a separate operation; a failed poll is not a reason to create another discovery run.

Monitors

Creating a monitor schedules ongoing provider work and can deliver externally. Use only for explicitly authorised Parallel monitoring, with a clear frequency, objective, processor/cost policy, and verified notification destination.

parallel-cli monitor create "$OBJECTIVE" --frequency 1d --json
parallel-cli monitor get "$MONITOR_ID" --json
parallel-cli monitor events "$MONITOR_ID" --json

Current syntax uses --frequency (1h, 1d, 1w, etc.), not the old --cadence. event_stream monitors a query; snapshot monitors a Task Run's output and needs its task-run ID. Define the intended event schema where supported and avoid sending sensitive results to an unverified webhook URL.

monitor trigger runs a real off-schedule check, not a synthetic webhook simulation. monitor cancel permanently stops future runs and is irreversible; it is not a pause/resume toggle. Read state and explain that consequence before an authorised cancellation. Listing defaults to active monitors; include cancelled state deliberately when reconciling history. Do not claim notification delivery from monitor creation alone; verify events and the receiving endpoint.

Failure triage

Distinguish usage/auth/API errors from timeout. Resolve actual permissions rather than broadening credentials reflexively. For a malformed response or transport failure after submission, preserve the original request metadata and reconcile whether the job was created. Retrying a paid submission with a new identity can duplicate work. Existing provider-side processing may continue even when this conversation or CLI exits.

Source: SKILL.md on GitHub

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1 alert1mo5 checks · Risk HIGH
  • Gen Agent Trust Hub1mo

    The skill facilitates web searching, deep research, and data enrichment via the Parallel AI CLI. It contains a high-risk installation command that downloads and executes a remote shell script directly. Additionally, it creates a surface for indirect prompt injection by processing unverified content from external websites and managing API keys in the shell environment.

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  • Snyk1mo

    Risk: MEDIUM · 1 issue

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  • ZeroLeaks6mo

    1 finding · Score: 82/100

Signed by skilld at 3323bc9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 weeks ago.

Steadyupdated last month
Other metadata
compatibility
Requires an installed current parallel-cli and authorised Parallel access. Inspect installed help; remote jobs can continue after a local timeout and may incur charges.
metadata
{
  "version": "3.0.0",
  "reviewed": "2026-09-13",
  "source": "https://docs.parallel.ai/integrations/cli"
}

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